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Maneuvering target tracking using extended Kalman filter
Authors:Cortina  E Otero  D D'Attellis  CE
Institution:SENID, Buenos Aires;
Abstract:A numerically well-conditioned, quasi-extended Kalman filter is proposed. The filter is numerically described. The simulation results presented show that the estimation performance of the quasi-extended filter is superior, for short distances, compared with the widely used linear tracking filters. In addition, the simplicity of the quasi-extended filter makes it very easy to implement
Keywords:
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